Determining the number of clusters when performing unsupervised clustering is a tricky problem. Many data sets don’t exhibit well separated clusters, and two human ...
Determining the number of clusters when performing unsupervised clustering is a tricky problem. Many data sets don’t exhibit well separated clusters, and two human ...
This Springer book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new...
Value of adopting Data Science Skills Data Science is responsible to provide meaning to the large amounts of complex data called big data. It involves different fields of...
Creating Info We Trust is a craft that puts the world into forms that are strong and true. It begins with maps, diagrams, and charts — but must push further than dr...
I was invited at the recent Microsoft’s Azure Data and AI Tech Immersion event (March 2019) and we played a bit with various tools, including Azure Data Studio and Azu...
Data Science is a combination of data inference, algorithms, and technology that solves complex problems. The core of this technology is data that is initially raw, then ...
The following articles were hand-picked, and curated by one of our interns. They cover dozens of topics of interest to data scientists. Precision vs significance / accu...
The article “Cognitive Hub: The Future of Work” and the supporting infographic (see Figure 1) provides an interesting perspective on some “technology combinations...
What data scientists do? As per my personal perception, i do break data science down into three components: (1) business intelligence, which is essentially about “t...